Hourly Temperature Forecasting and Correction Model Based on ConvLSTM and Res-STS Networks

We first used the stepwise regression method to screen the physical factors that have a significant impact on the 2m temperature, establish the optimal factor set, preprocess the data, and finally constructed hourly temperature forecasting and correction models based on ConvLSTM and Res-STS networks, respectively.